Utilizing learning analytics for study success: a systematic review

Yau, Jane Yin-Kim ; Ifenthaler, Dirk ; Mah, Dana-Kristin

Document Type: Conference presentation
Year of publication: 2018
Conference title: EdMedia 2018 - World Conference on Educational Media and Technology
Location of the conference venue: Amsterdam, Netherlands
Date of the conference: 25.-29.06.2018
Publication language: English
Institution: Business School > Wirtschaftspädagogik, Technologiebasiertes Instruktionsdesign (Ifenthaler 2015-)
Subject: 330 Economics
Abstract: This study examines the utilization of learning analytics to support study success. Our main research question was to identify whether there is a link between learning analytics and the respective intervention measures to increase study success. Our systematic review consisted of empirical studies conducted during the past five years (2013-2017). Search terms identified 6220 papers from various sources. After duplicated articles were removed, there were 3163 papers remaining. Each of the abstracts of the papers was screened and the inclusion criteria (such as peer-reviewed, quantitative research findings) limited the key studies to 41. This paper presents an overview of the results of this systematic review. The latest research from 2017 reveals evidence in the main successful application of learning analytics to reduce student dropout can only be found in USA, Australia, and England. It is concluded that evidence can be found supporting the use of learning analytics to support study success however limited and/or study success may not be exclusively the result of the use of learning analytics but also some additional means of technological or institutional support. More work on ethical and privacy guidelines supporting a wider adoption of learning analytic systems is required as well as work towards a standardized and personalized LA system which can be integrated into any learning environment providing reliable at-risk student prediction and intervention strategies.

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